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. 2022 Nov 29;17(11):e0278271. doi: 10.1371/journal.pone.0278271

Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study

Viktoria Schmidt 1,*, Julia Kaiser 1, Julia Treml 1, Anette Kersting 1
Editor: Jibril Mohammed2
PMCID: PMC9707745  PMID: 36445887

Abstract

Objectives

Before the loss of a loved one to cancer, relatives have time to adapt to the impending death. However, due to the current COVID-19 pandemic, adjustment to an imminent death may be more difficult. This study investigates factors related to pre-loss grief and preparedness during the COVID-19 pandemic and their relationship with COVID-19 related fears.

Methods

Data of 299 participants from a cross-sectional study was used. Participants were included if they were relatives of people with cancer, spoke German and were at least 18 years. Multivariate linear regression analyses were conducted to measure the relationship between predictors (dysfunctional coping, emotion-focused coping, problem-focused coping, attachment anxiety, attachment avoidance, COVID-19 related fears, prognosis, perceived depth of the relationship, perceived conflict in the relationship, health status) and pre-loss grief, preparedness for caregiving and preparedness for death as the dependent variables.

Results

Perceived depth (β = .365, p < .001), COVID-19 related fears (β = .141, p = .002), prognosis for death (β = .241, p < .001), dysfunctional coping strategies (β = .281, p < .001) and emotion-focused coping strategies (β = -.320, p < .001) significantly predicted pre-loss grief. Prognosis for death (β = .347, p < .001), dysfunctional coping strategies (β = -.229, p < .001), emotion-focused coping strategies (β = .242, p < .001), COVID-19 related fears (β = -.112, p = .037) and health status (β = .123, p = .025) significantly predicted preparedness for death. Dysfunctional coping (β = -.147, p = .009), problem-focused coping (β = .162, p = .009), emotion-focused coping (β = .148, p = .017), COVID-19 related fears (β = -.151, p = .006), attachment anxiety (β = -.169, p = .003), perceived conflict in the relationship with the patient with cancer (β = -.164, p = .004), perceived depth in the relationship (β = .116, p = .048) and health status (β = .157, p = .003) significantly predicted preparedness for caregiving.

Conclusions

This study shows COVID-19 pandemic impacts on the grieving process of relatives of patients with cancer. Consequently, screening for pre-loss grief, preparedness and their associated factors may help provide early support for relatives of people with cancer at need. However, further research is needed to help understand the stability of pre-loss grief and preparedness.

Introduction

Cancer is one of the leading causes of death in the world [1]. In 2020, nearly 10 million people worldwide died due to cancer and 19.3 million new cases of cancer were reported [1]. For most people, the loss of a loved one to cancer is not unexpected, leaving time to adapt to the imminent death [2]. This period of forewarning has been described as grief before death—specifically anticipatory grief or more recently as pre-loss grief—and preparedness in the literature [3, 4]. Anticipatory grief was initially viewed as a resource in the sense of preparation for the loss and detachment, reducing psychological stress after the loss [5]. Because anticipatory grief has failed to fulfill the originally hypothesized function of anticipating the grieving process, Nielsen et al. [3] recommended the use of “pre-loss grief”, which will be used throughout this paper. In contrast to anticipatory grief indicating a function of this form of grief, pre-loss grief only describes grief before death [3].

Literature divides preparedness into two different operationalizations: preparedness for caregiving and preparedness for death. While preparedness for caregiving is characterized as the perception of readiness regarding caregiving activities for a patient [6], preparedness for death indicates how ready relatives feel for the death of their loved one [7]. Moreover, Hebert et al. [8] described that preparedness for death consists of affective, behavioral and cognitive factors. While preparedness for caregiving has a specific scale and has been frequently examined in previous studies [6, 9], preparedness for death represents a newer concept that lacks a consistent operationalization [4].

A recent review investigated caregivers of patients with cancer and found that high levels of pre-loss grief were a risk factor for poor adaption to the death and high levels of preparedness a protective factor for poor adaptation to the death [4]. Because both constructs influence the adjustment after death, it seems important to examine predictors of pre-loss grief and preparedness to provide insight into the grieving process and therefore develop specific interventions.

Previous literature has examined a variety of predictors of pre-loss grief and preparedness. Studies show that coping style, relationship quality, social support, health status and attachment style seem to be related to levels of pre-loss grief and/or preparedness [2, 1016]. However, many studies show ambivalence regarding the direction of the effect, such as in the case of relationship quality, as some studies found a positive and others a negative association between quality of relationship and grief or preparedness [12, 17, 18]. Moreover, most studies only assessed preparedness for death or preparedness for caregiving, not exploring both constructs at the same time. Furthermore, there seem to be important variables that may influence pre-loss grief and preparedness that have not been studied yet. One example are COVID-19 related fears. While many studies assume negative effects of COVID-19 on the grieving process [19], studies investigating the effect of COVID-19 on bereavement mostly consist of expert opinions, commentaries or recommendations for research and practice, lacking of empirical studies [see 20]. Also, the individual prognosis of the loved ones may play a role in grieving and preparation processes [21, 22], however, its relationship with pre-loss grief or preparedness has not been studied yet.

Moreover, the aforementioned studies on factors related with pre-loss grief and preparedness mostly measured preparedness for death retrospectively with a single-item, not taking into account the different components described by Hebert et al. [see 4, 8]. Therefore, prospective studies on predictors of pre-loss grief and preparedness, that consider the different components of preparedness and distinguish between different conceptualizations of preparedness, are important.

This is, to our knowledge, the first empirical study to investigate pre-loss grief, preparedness for death and preparedness for caregiving simultaneously during the COVID-19 pandemic in relatives of people with cancer. It aims to explore various correlates of pre-loss grief and preparedness during the COVID-19 pandemic and therefore addresses current gaps in the literature. Specifically, the aims were to examine the relationship between coping strategies, quality of relationship, prognosis, COVID-19 related fears, health status, attachment style and: (1) pre-loss grief, (2) the multidimensional construct of preparedness for death and (3) preparedness for caregiving in relatives of cancer patients during the COVID-19 pandemic.

Materials and methods

Procedure

The study was conducted according to the Declaration of Helsinki and was approved by the Ethics Committee of the Medical Faculty of the University of Leipzig (reference number: 046/20-ek). We recruited participants between February 2020 and September 2021 via Internet, social media networks and health care providers for a cross-sectional survey (e.g., through facebook help groups and advertisements, hospices and service counseling centers for cancer information). For this purpose, we linked a study page with information about the background, objectives, and implementation of the study, which participants could read and download. Interested participants could start the survey on their own by filling out self-report measures. We integrated an electronic consent form in the first page of the online questionnaire. Due to the difficulty of accessibility of relatives of patients with cancer (as there is no official cancer registry with contact details of relatives), convenient sampling was used to ensure a sufficient sample size.

Participants

Participants were included if they were relatives of people with cancer, 18 years or older, spoke German and provided electronic informed consent. All data entered after providing informed consent was saved automatically by the survey platform. Most participants were women (90.3%), married (56.2%), highly educated (12+years, 62.2%), had a German nationality (96.3%) and belonged to a religion (57.9%). The mean age of the participants was 41.35 years (SD = 12.21). The patients with cancer were mostly parents (42.1%), partners (26.8%) or children (11.0%) of the participants. They were mostly women (53.5%) and the mean age was 54.25 years (SD = 19.97). Regarding the care for the person with cancer, 41.8% stated to undertake some type of care activities.

Measures

For this study, the main outcomes were pre-loss grief and preparedness. Pre-loss grief was assessed using the Caregiver Grief Scale [23], containing 11 items. Participants are asked to answer on a 5-point Likert-scale (1 = strongly disagree; 5 = strongly agree). Higher scores indicate higher pre-loss grief. Internal consistency was good in this study (α = .82).

Preparedness measures included measures for preparedness for death and preparedness for caregiving. Questions for preparedness for death were self-generated, based on Schulz et al. [24], taking the different components suggested by Hebert et al. [8] into account. The three items can be rated on a 4-point Likert-scale (1 = not at all; 4 = very). Higher scores indicate higher preparedness for death. In the present study, Cronbach’s Alpha for preparedness for death was questionable (α = .69). However, because different and overlapping terminology is used to describe internal consistency [see 25] and values above .7 and .6 have been described as acceptable [e.g., 26], the overall scale was used for analyses.

Preparedness for caregiving was measured using the Preparedness for Caregiving Scale [6]. The scale consists of eight items, which can be answered on a 5-point Likert-scale (0 = not at all prepared; 4 = very well prepared). Higher values represent a higher perceived preparedness for caregiving. Internal consistency for this scale was excellent (α = .91). Two psychologists (JK and JT) independently translated the English version of the Preparedness for caregiving scale into German. Both versions were compared for differences and merged by consensus into one German version. This version was then back translated by a native speaker. The German Version of the preparedness for caregiving scale is provided within the S1 Table. For correlates, we assessed sociodemographic variables of participants. All other included measurement tools are in Table 1, representing a complete list of correlates and outcomes.

Table 1. Measurement tools.

Construct Instrument Rating Reliability in this study
Item Number Likert scale wording (scores) Cronbach’s α =
Pre-loss grief Caregiver Grief Scale [23], German version (higher scores indicate higher pre-loss grief) 11 strongly disagree-strongly agree (1–5) .82
Preparedness Preparedness for Death, self-generated items, based on Schulz et al. [24] (see S2 Table; higher scores indicate higher preparedness for death) 3 not at all-very (1–4) .69
Preparedness for Caregiving Scale [6], translated (see S1 Table; higher scores indicate higher preparedness for caregiving) 8 not at all prepared- very well prepared (0–4) .91
COVID-19 related fears Self-generated items (see S3 Table; higher scores indicate higher COVID-19 related fears) 4 not at all- a lot (1–5) .75
Relationship to person with cancer Quality of Relationship Inventory [27], German version (higher scores indicate higher depth/conflict) 18 in 2 subscales (depth and conflict in Relationship) not at all-very (1–4) .82-.91 for subscales
Coping Style Brief-COPE [28], German version (higher scores indicate higher coping) 28 in 3 subscales (emotion-focused, problem-focused, dysfunctional coping; see 11) not at all-a lot (1–4) .66-.74 for subscales
Attachment Style Experiences in Close Relationships, Short Form [29], German version (higher scores indicate a higher anxious/avoidant attachment) 6 in 2 subscales (anxious, avoidant attachment) completely disagree- completely agree (1–7) .68-.92 for subscales
Prognosis Self-generated item (see S4 Table; higher scores indicate higher subjective change of death) 1 not at all-very likely (0–100%)
Health Status Self-generated item (see S5 Table) 1 no-yes (0–1)

Data analyses

Statistical analyses were conducted using the Statistical Package for Social Sciences, version 25 (IBM® SPSS®). To examine correlates of pre-loss grief and preparedness, we performed multivariate linear regression analysis with pre-loss grief, preparedness for death and preparedness for caregiving as the dependent variables. Quality of relationship (depth, conflict), coping strategies (emotion-focused, problem-focused, dysfunctional), COVID-19 related fears, attachment style (avoidant, anxious), health status and prognosis were included as independent variables. A correlation matrix of all variables included in the analyses can be found in the (S6 Table).

Results

Sample description

In total, 646 potential participants started the online survey. Of these, 347 dropped out during the survey, and a total number of n = 299 participants fully completed the online survey. The characteristics of the sample can be found in Table 2.

Table 2. Characteristics of the sample.

Variable M / N SD / % Scale range
Demographic variables of participant Age 41.35 12.21
Gender
    Women 270 90.3%
    Men 27 9.0%
    Diverse 2 0.7%
School education
    Low 9 14 4.7%
    Medium 93 31.1%
    High 186 62.2%
    Missings 6 2.0%
Relationship to person with cancer
The person with cancer is my:
    Child 33 11.0%
    Sibling 21 7.0%
    Parent 126 42.1%
    Partner 80 26.8%
    Friend 11 3.7%
    Other 28 9.4%
Characteristics of the person with cancer Age 54.25 19.97
Gender
    Women 160 53.5%
    Men 138 46.2%
    Diverse 1 0.3%
Pre-loss grief and Preparedness Pre-loss grief 3.49 0.77 1–5
Preparedness for death 5.96 2.19 3–12
Preparedness for caregiving 15.10 7.23 0–32

Factors associated with pre-loss grief and preparedness

Bivariate correlations between pre-loss grief, preparedness and all correlate variables are in the (S6 Table). We conducted multivariate linear regression analyses. The underlying relationship analyzed with linear regression models was linear and all assumptions of the analysis performed were met.

Factors associated with pre-loss grief

The regression analysis yielded a significant model (F(10,288) = 26.357, p < .001, see Table 3), of which five variables were significantly associated with pre-loss grief. A power analysis with G*Power 3.1. revealed a large sized effect for the prediction model of pre-loss grief (f2 = .92, α = .005, power = .80).

Table 3. Multivariate regression analysis.

Model Term Pre-loss Grief Preparedness for death Preparedness for Caregiving
β (r, 95%Cl) p Value β (r, 95%Cl) p Value β (r, 95%Cl) p Value
Intercept (.813 to 2.101) < .001*** (3.457 to 8.163) < .001*** (4.252 to 19.326) .002**
Emotion-focused coping -.320 (-.392, -.675 to -.356) < .001*** .242 (.205, .568 to 1.665) < .001*** .148 (.202, .402 to 4.132) .017*
Problem-focused coping -.029 (-.103, -.165 to .091) .566 .082 (.122, -.121 to .731) .160 .162 (.209, .507 to 3.500) .009**
Dysfunctional coping .281 (.335, .362 to .697) < .001*** -.229 (-.207, -1.877 to -.589) < .001*** -.147 (-.101, -4.591 to -.668) .009**
Attachment anxiety -.035 (-.027, -.067 to .029) .441 -.045 (-.098, -.253 to .112) .450 -.169 (-.240, -1.430 to -.304) .003**
Attachment avoidance .086 (.083, -.001 to .075) .057 .027 (-.059, -.106 to .172) .641 .107 (-.040, -.009 to .883) .055
COVID-19 related fears .141 (.235, .010 to .040) .002** -.112 (-.129, -.109 to -.003) .037* -.151 (-.128, -.430 to -.074) .006**
Prognosis .241 (.265, .003 to .007) < .001*** .347 (.284, .014 to .027) < .001*** .055 (.018, -.010 to .032) .315
Quality of Relationship- Depth .365 (.424, .354 to .598) < .001*** -.087 (-.231, -.725 to .074) .110 .116 (.122, .010 to 2.874) .048*
Quality of Relationship- Conflict -.010 (-.129, -.125 to .099) .822 -.019 (.015, -.436 to .302) .721 -.164 (-.185, -3.233 to -.611) .004**
Health Status -.046 (.016, -.231 to .067) .282 .123 (.117, .079 to 1.168) .025* .157 (.138, .890 to 4.380) .003**

Note. N = 299; Model 1-Pre-loss Grief: R2 = .48, Adjusted R2 = .46, F(10,288) = 26.357 (p < .001); Model 2-Preparedness for death: R2 = .27, Adjusted R2 = .24, F(10,288) = 10.576 (p < .001); Model 3-Preparedness for Caregiving: R2 = .21, Adjusted R2 = .18, F(10,288) = 7.526 (p < .001).

* p < .05

** p < .01

*** p < .001.

Higher perceived depth of the relationship with the patient with cancer was associated with higher pre-loss grief (β = .365, p < .001). Moreover, more COVID-19 related fears (β = .141, p = .002) and a higher prognosis of death (β = .241, p < .001) were also associated with higher pre-loss grief. Higher emotion-focused coping strategies showed a negative relationship with pre-loss grief (β = -.320, p = < .001), while dysfunctional coping strategies showed a positive relationship with pre-loss grief (β = .281, p < .001). All other variables were not significantly related to pre-loss grief.

Factors associated with preparedness for death

The regression analysis identified a significant model (F(10,288) = 10.576, p < .001, see Table 3) with five variables significantly associated with preparedness for death. Due to heteroscedasticity, robust standard errors (HC3) were calculated. A power analysis with G*Power 3.1. revealed a medium sized effect (f2 = .37, α = .05, power = .80).

A higher level of preparedness for death was associated with a higher prognosis of death (β = .347, p < .001), higher emotion-focused coping (β = .242, p < .001), lower dysfunctional coping (β = -.229, p < .001), lower COVID-19 related fears (β = -.112, p = .037) and health status (β = .123, p = .025).

Factors associated with preparedness for caregiving

The regression analysis resulted in a significant model (F(10,288) = 7.526, p < .001, see Table 3), in which eight variables were significantly associated with preparedness for caregiving. A power analysis with G*Power 3.1. revealed a medium sized effect (f2 = .27, α = .005, power = .80). Higher levels of preparedness for caregiving were associated with higher problem-focused coping (β = .162, p = .009), higher emotion-focused coping (β = .148, p = .017), and lower dysfunctional coping (β = -.147, p = .009). On the other hand, lower levels of preparedness for death were associated with higher levels of an anxious attachment style (β = -.169, p = .003), more conflicts in the relationship (β = -.164, p = .004), less depth in the relationship (β = .116, p = .048), and more COVID-19 related fears (β = -.151, p = .006). Lastly, relatives who at the time of the survey had themselves a serious physical illness or disability or mental illness or disability, showed higher levels of preparedness for caregiving (β = .157, p = .003). The other variables included were not significantly associated with preparedness for caregiving.

Discussion

This is, to our knowledge, the first study to investigate factors associated with pre-loss grief and preparedness during the COVID-19 pandemic in relatives of people with cancer. Results showed that helpful coping strategies (emotion-focused or problem-focused coping) showed a negative relationship with pre-loss grief and dysfunctional coping a positive relationship with pre-loss grief. On the other hand, helpful coping strategies showed a positive relationship with preparedness measures and dysfunctional coping strategies a negative relationship with preparedness measures. This is also in line with previous studies [2, 10] and demonstrates the need of including knowledge about different coping strategies in interventions.

Regarding attachment style, only an anxious attachment style was negatively associated with preparedness for caregiving. Contrary to previous studies [12, 16], results did not show a significant relationship between attachment style and pre-loss grief and attachment avoidance and preparedness for caregiving. However, Sörensen and colleagues’ [16] sample consisted of parents of college students, who did not have a loved one suffering from cancer, limiting comparability. Moreover, Pote and Wright [12] evaluated caregivers of individuals with dementia, assessing pre-loss grief with a questionnaire specifically designed for caregivers of people with dementia or Alzheimer’s disease. Relatives of cancer and dementia patients show dissimilarities in the experience of pre-loss grief [30], which may account for the found differences. Furthermore, attachment style may not play a role for preparedness for death, as results did not show a significant relationship and no further studies on these relationships exist.

Additionally, more COVID-19 related fears were associated with a higher level of pre-loss grief and preparedness for caregiving, but a lower level of preparedness for death. This suggests that the COVID-19 pandemic has a significant impact on the grieving and caregiving process before a loss and represents another stress factor that should be considered in patient care. Therefore, this is the first study to confirm previous theoretical assumptions about the negative effect of the COVID-19 pandemic on the grieving process [19, 20]. As COVID-19 related fears also emerged as a significant correlate for preparedness for death, it may further complicate preparation processes for the death of a loved one.

Furthermore, relatives with a worse health status showed higher levels in both preparedness measures, which is contrary to previous results [2, 15]. This could be due to the fact that previous studies assessed health status with continuous questionnaires for a variety of health variables, e.g., general health, depression or anxiety. In contrast, health status was assessed using a dichotomous variable in this study, only measuring whether or not relatives had a physical/mental illness or disability, therefore limiting comparability to previous studies. While relatives who have a physical or mental illness/disability may have higher preparedness for death and caregiving, this relationship may dependent on the severity of their illness or disability. To further explore the relationship between health status and pre-loss grief/preparedness measures, more studies are necessary.

Moreover, results regarding quality of relationship showed that a higher perceived depth [= importance of the relationship, see 27] of the relationship with the patient with cancer was associated with higher pre-loss grief and higher preparedness for caregiving. More conflicts in the relationship were associated with less preparedness for caregiving. While previous studies have shown ambivalent results, they differed in measurement tools for relationship quality, as scales for self-evaluation and social support, as well as general acquaintance measures were used or relationship quality was seen as part of the construct without using a quantitative measurement [12, 17, 18]. Therefore, this is the first study to demonstrate the differential effects of perceived depth, or in other words, importance of the relationship [27] and conflict on pre-loss grief and preparedness.

Lastly, this study found a positive relationship between relatives’ perceived poor prognosis of their loved one and pre-loss grief, as well as preparedness for death. This may be because the cognitive component of preparedness for death involves medical information about the patient, e.g., information on the prognosis [8]. Therefore, the information contained in the prognosis may be helpful for feeling prepared for the death. At the same time, relatives develop higher feelings of grief, the worse the prognosis of the patient with cancer. Therefore, pre-loss grief might be primarily relevant for relatives of patients with cancer with poor prognosis. For future studies, it might be interesting to explore the underlying mechanisms of these relationships.

The final models explain between 21 and 48% of variance, indicating a considerable influence of the related factors on the forewarning period. However, the cross-sectional design and exploratory analyses may limit the generalizability of results. Therefore, longitudinal studies should replicate findings with previously made hypotheses.

Limitations

This study has several limitations. Most participants were women (90.3%) and highly educated (62.2%), which might affect the representativeness of the sample. Because pre-loss grief and preparedness have been found to be higher in women than in men [10, 15], the high percentage of women may have caused the sample to have higher scores in the outcomes, therefore possibly affecting the results. Also, a lower educational level has shown to be associated with higher levels of pre-loss grief and lower levels of preparedness [7, 31], which might also have affected the results, as grief may be higher and preparedness be lower in this sample than in samples with a lower educational background. Further research should seek to include a higher rate of men and participants from different educational backgrounds. Also, 53% of participants dropped out after starting the survey, which may create bias in the sample.

Moreover, preparedness for death was measured with a self-generated scale, which was based on Schulz et al. [24] and Hebert et al. [8], and showed to have a questionable reliability in this study. Future studies should develop a reliable assessment scale for preparedness for death, which considers its multi-component concept. Additionally, because this study focused on relatives of patients with cancer, effects could be different for other life limiting illnesses and should therefore be explored in further research.

Furthermore, as the COVID-19 pandemic changes consistently in terms of treatment options, mortality, and vaccinations, this might have an impact on COVID-19 related anxiety. Further research is needed to examine these relationships in more detail.

Lastly, because we measured pre-loss grief and preparedness only at one point in time, no conclusions can be made about the change or stability in these constructs over time and about the direction of causal effects. Future research should investigate if and how both pre-loss grief and preparedness change over time and if the changes can be predicted by other variables.

Conclusions

This study demonstrates the unique correlate models of pre-loss grief, preparedness for death, and preparedness for caregiving in relatives of people with cancer. Screening for pre-loss grief and preparedness as well as for associated characteristics (COVID-19 related fears, dysfunctional coping strategies, depth of the relationship, attachment style, prognosis for death of patient with cancer, health status) may help identify individuals at risk and provide targeted interventions. To understand the stability or change of pre-loss grief and preparedness over time, further research is needed.

Supporting information

S1 Table. German version of the preparedness for caregiving scale.

(DOCX)

S2 Table. Self-generated questions for “Preparedness for death”.

(DOCX)

S3 Table. Self-generated questions for “COVID-19 related fears”.

(DOCX)

S4 Table. Self-generated item for “Prognosis”.

(DOCX)

S5 Table. Self-generated questions for “Health Status”.

(DOCX)

S6 Table. Correlation matrix of all variables included in the best subset analyses.

(DOCX)

Data Availability

By instruction of the Office for Data Protection of the Faculty of Medicine of the University of Leipzig, datasets were not uploaded in a public repository in order not to violate the confidentiality of the subjects' information. Datasets contain sensitive information, that might otherwise identify participants. Reasoned requests to access datasets can be directed to the Research Lab at the Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig (forschung-psom@medizin.uni-leipzig.de), which serves as the permanent data access committee. Requests will be submitted to the data protection coordinator of the University of Leipzig as well as to the Ethics Committee before transfer. Based on the EU General Data Protection Regulation and the patient consent form used in the study, only de-identified data may be shared.

Funding Statement

The author(s) received no specific funding for this work.

References

  • 1.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021. May;71(3):209–49. doi: 10.3322/caac.21660 [DOI] [PubMed] [Google Scholar]
  • 2.Caserta, Utz R, Lund D, Supiano K, Donaldson G. Cancer Caregivers’ Preparedness for Loss and Bereavement Outcomes: Do Preloss Caregiver Attributes Matter? OMEGA—J Death Dying. 2019. Dec;80(2):224–44. doi: 10.1177/0030222817729610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Nielsen, Neergaard MA, Jensen AB, Bro F, Guldin MB. Do we need to change our understanding of anticipatory grief in caregivers? A systematic review of caregiver studies during end-of-life caregiving and bereavement. Clin Psychol Rev. 2016. Mar;44:75–93. doi: 10.1016/j.cpr.2016.01.002 [DOI] [PubMed] [Google Scholar]
  • 4.Treml J, Schmidt V, Nagl M, Kersting A. Pre-loss grief and preparedness for death among caregivers of terminally ill cancer patients: A systematic review. Soc Sci Med. 2021. Sep;284:114240. doi: 10.1016/j.socscimed.2021.114240 [DOI] [PubMed] [Google Scholar]
  • 5.Lindemann E. SYMPTOMATOLOGY AND MANAGEMENT OF ACUTE GRIEF. Am J Psychiatry. 1944. Sep;101(2):141–8. [DOI] [PubMed] [Google Scholar]
  • 6.Pucciarelli G, Savini S, Byun E, Simeone S, Barbaranelli C, Vela RJ, et al. Psychometric properties of the Caregiver Preparedness Scale in caregivers of stroke survivors. Heart Lung. 2014. Dec;43(6):555–60. doi: 10.1016/j.hrtlng.2014.08.004 [DOI] [PubMed] [Google Scholar]
  • 7.Hebert RS, Prigerson HG, Schulz R, Arnold RM. Preparing Caregivers for the death of a loved one: A theoretical framework and suggestions for future research. J Palliat Med. 2006. Oct;9(5):1164–71. doi: 10.1089/jpm.2006.9.1164 [DOI] [PubMed] [Google Scholar]
  • 8.Hebert RS, Schulz R, Copeland VC, Arnold RM. Preparing Family Caregivers for Death and Bereavement. Insights from Caregivers of Terminally III Patients. J Pain Symptom Manage. 2009. Jan;37(1):3–12. [DOI] [PubMed] [Google Scholar]
  • 9.Archbold PG, Stewart BJ, Greenlick MR, Harvath T. Mutuality and preparedness as predictors of caregiver role strain. Res Nurs Health. 1990. Dec 1;13(6):375–84. doi: 10.1002/nur.4770130605 [DOI] [PubMed] [Google Scholar]
  • 10.Coelho A, Silva C, Barbosa A. Portuguese validation of the Prolonged Grief Disorder Questionnaire–Predeath (PG–12): Psychometric properties and correlates. Palliat Support Care. 2017. Oct;15(5):544–53. doi: 10.1017/S1478951516001000 [DOI] [PubMed] [Google Scholar]
  • 11.Su X you, Lau JT, Mak WW, Choi K, Feng T jian, Chen X, et al. A preliminary validation of the Brief COPE instrument for assessing coping strategies among people living with HIV in China. Infect Dis Poverty. 2015. Dec;4(1):41. doi: 10.1186/s40249-015-0074-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pote SC, Wright SL. Evaluating anticipatory grief as a moderator of life and marital satisfaction for spousal caregivers of individuals with dementia. Educ Gerontol. 2018. Mar 4;44(2–3):196–207. [Google Scholar]
  • 13.Hudson PL, Thomas K, Trauer T, Remedios C, Clarke D. Psychological and Social Profile of Family Caregivers on Commencement of Palliative Care. J Pain Symptom Manage. 2011. Mar;41(3):522–34. doi: 10.1016/j.jpainsymman.2010.05.006 [DOI] [PubMed] [Google Scholar]
  • 14.Nielsen, Neergaard MA, Jensen AB, Vedsted P, Bro F, Guldin MB. Preloss grief in family caregivers during end-of-life cancer care: A nationwide population-based cohort study. Psychooncology. 2017. Dec;26(12):2048–56. doi: 10.1002/pon.4416 [DOI] [PubMed] [Google Scholar]
  • 15.Henriksson A, Arestedt K. Exploring factors and caregiver outcomes associated with feelings of preparedness for caregiving in family caregivers in palliative care: A correlational, cross-sectional study. Palliat Med. 2013. Jul;27(7):639–46. doi: 10.1177/0269216313486954 [DOI] [PubMed] [Google Scholar]
  • 16.Sörensen S, Webster JD, Roggman LA. Adult attachment and preparing to provide care for older relatives. Attach Hum Dev. 2002. May;4(1):84–106. doi: 10.1080/14616730210123102 [DOI] [PubMed] [Google Scholar]
  • 17.Singer J, Papa A. Preparedness for the death of an elderly family member: A possible protective factor for pre-loss grief in informal caregivers. Arch Gerontol Geriatr. 2021. May;94:104353. doi: 10.1016/j.archger.2021.104353 [DOI] [PubMed] [Google Scholar]
  • 18.Van Doorn C, Kasl S, Beery L, Jacobs S, Prigerson HG. The Influence of Marital Quality and Attachment Styles on Traumatic Grief and Depressive Symptoms. J Nerv Ment Dis. 1998;186(9):566–73. doi: 10.1097/00005053-199809000-00008 [DOI] [PubMed] [Google Scholar]
  • 19.Holland DE, Vanderboom CE, Dose AM, Moore D, Robinson KV, Wild E, et al. Death and Grieving for Family Caregivers of Loved Ones With Life-Limiting Illnesses in the Era of COVID-19: Considerations for Case Managers. Prof Case Manag [Internet]. 2020. Nov 10 [cited 2021 Nov 3];Publish Ahead of Print. Available from: https://journals.lww.com/10.1097/NCM.0000000000000485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Stroebe M, Schut H. Bereavement in Times of COVID-19: A Review and Theoretical Framework. OMEGA—J Death Dying. 2021. Feb;82(3):500–22. doi: 10.1177/0030222820966928 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Barry LC, Prigerson HG. Perspectives on preparedness for a death among bereaved persons. Conn Med. 2002. Nov;66(11):691–6. [PubMed] [Google Scholar]
  • 22.Granek L, Ben-David M, Shapira S, Bar-Sela G, Ariad S. Grief symptoms and difficult patient loss for oncologists in response to patient death: Grief symptoms and difficult patient loss for oncologists. Psychooncology. 2017. Jul;26(7):960–6. [DOI] [PubMed] [Google Scholar]
  • 23.Meichsner F, Schinköthe D, Wilz G. The Caregiver Grief Scale: Development, Exploratory and Confirmatory Factor Analysis, and Validation. Clin Gerontol. 2016. Aug 7;39(4):342–61. [Google Scholar]
  • 24.Schulz R, Boerner K, Klinger J, Rosen J. Preparedness for Death and Adjustment to Bereavement among Caregivers of Recently Placed Nursing Home Residents. J Palliat Med. 2015. Feb 1;18(2):127–33. doi: 10.1089/jpm.2014.0309 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Taber KS. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ. 2018. Dec;48(6):1273–96. [Google Scholar]
  • 26.van Griethuijsen RALF, van Eijck MW, Haste H, den Brok PJ, Skinner NC, Mansour N, et al. Global Patterns in Students’ Views of Science and Interest in Science. Res Sci Educ. 2015. Aug;45(4):581–603. [Google Scholar]
  • 27.Reiner I, Beutel M, Skaletz C, Brähler E, Stöbel-Richter Y. Validating the German Version of the Quality of Relationship Inventory: Confirming the Three-Factor Structure and Report of Psychometric Properties. Mazza M, editor. PLoS ONE. 2012. May 25;7(5):e37380. doi: 10.1371/journal.pone.0037380 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Knoll N, Rieckmann N, Schwarzer R. Coping as a mediator between personality and stress outcomes: a longitudinal study with cataract surgery patients. Eur J Personal. 2005. Apr;19(3):229–47. [Google Scholar]
  • 29.Petrowski K, Brähler E, Suslow T, Zenger M. Revised short screening version of the attachment questionnaire for couples from the German general population. Montazeri A, editor. PLOS ONE. 2020. Apr 2;15(4):e0230864. doi: 10.1371/journal.pone.0230864 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Johansson AK, Sundh V, Wijk H, Grimby A. Anticipatory Grief Among Close Relatives of Persons With Dementia in Comparison With Close Relatives of Patients With Cancer. Am J Hosp Palliat Med. 2013. Feb;30(1):29–34. doi: 10.1177/1049909112439744 [DOI] [PubMed] [Google Scholar]
  • 31.Kiely DK, Prigerson HG, Mitchell SL. Health care proxy grief symptoms before the death of nursing home residents with advanced dementia. Am J Geriatr Psychiatry Off J Am Assoc Geriatr Psychiatry. 2008. Aug;16(8):664–73. doi: 10.1097/JGP.0b013e3181784143 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Jibril Mohammed

4 Oct 2022

PONE-D-22-17257Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study.PLOS ONE

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Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #2: Yes

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Reviewer #2: Abstract.

Objectives: Please be clear on what you mean by constructs in the following phase ‘and their relationship with COVID-19 specific constructs.’ Remember the abstract is the gateway to your article.

Method: It should be ‘Data of 299 participants from a cross-sectional study was used.

Please be very clear about the analysis. What did you use Multivariate linear regression analysis for? What were the independent and the dependent variables?

From what I understand the dependent variables are Pre-loss grief, Preparedness for death, and Preparedness for caregiving; while the independent variables are perceived depth of the relationship, COVID-19 related fears, prognosis for death, dysfunctional coping strategies, emotion-focused coping strategies, prognosis for death, problem-focused coping, attachment anxiety and perceived conflict in the relationship with the cancer patient. So if I am right, in reporting your result, you should say the independent variable (name) significantly or not predicted the dependent variable (name).

Also please use patients with cancer in place of cancer patients

I think it will be good if you can include r values and the 95% CI together with the β and p values. This will make the result more meaningful

Conclusion: It should be ‘COVID-19 pandemic impacts on the grieving process of relatives of patients with cancer. Consequently, screening for pre-loss grief, preparedness and their associated factors may help provide early support for relatives of people with cancer at need. However, further research is needed to help understand the stability of pre-loss grief and preparedness.

Introduction

Although the introduction has provided many relevant information, it is way too long, and it has included many irrelevant information. I think it will be good if the authors will talk about cancer in one paragraph and how death is expected in the patients, and then connect this with pre-loss grief and preparedness in the relatives of the patients in the second paragraph. The third paragraph can talk about the problem and the aim of the study. This way, the introduction will be more succinct.

Procedure

Line 144: It should be ‘and was approved’

Page 7

Please take the following to the result section: In total, 646 potential participants started the online survey. Of these, 273 dropped out during or after completing the sociodemographic variables. Further 74 participants were excluded due to dropping out during the remaining online survey, leading to a total number of n=299 participants.

What you need under this section: are inclusion and exclusion criteria, the characteristics of the participants such as being a relative of patients with cancer, participants who can speak German, etc, etc.

Measures

I do not know why you need Table 1? What we need to see under measures are the description, characteristics and the psychometric properties of the outcome measures from previous studies, unless they are new measures invented by you.

Statistical analysis

Because three different models were tested and to correct for Type 1 error, we applied Bonferroni correction and set the significance level at p<.0167. I am not sure Bonferoni correction was appropriately applied. Bonferonni correction is used when there is multiple pairwise comparison, and in the first, you are not comparing anything with anything.

Table 3: You need to provide r values (rank order correlation) in the table. The 95% CI is for the r value.

Also please cross-check the p values in the text. Some are reading p<000

Factors associated with preparedness for caregiving

You mentioned power analysis here: A power analysis with G*Power 3.1. revealed a medium sized effect (f2 = .22, α = .0167, power = .80). What is it for?

Limitation

This is not limitation: Furthermore, the cross-sectional design and exploratory analyses may limit the generalizability of results.

Please take of the limitation to the discussion section. They are not limitations.

Conclusion: The conclusion is too long. A conclusion should be very succinct.

**********

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Reviewer #1: Yes: Naziru Bashir Mukhtar

Reviewer #2: Yes: Auwal Abdullahi

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Attachment

Submitted filename: PONE-D-22-17257_reviewer Comments.docx

Attachment

Submitted filename: Reviewer comment cancer and Covid grief.docx

PLoS One. 2022 Nov 29;17(11):e0278271. doi: 10.1371/journal.pone.0278271.r002

Author response to Decision Letter 0


7 Nov 2022

PONE-D-22-17257

Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study.

Dear Prof. Dr. Prof. Chenette,

We would like to thank the editor and the reviewers for their effort in reviewing our manuscript “Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study”. We appreciated the reviewers' constructive comments, which helped us to improve the quality of the manuscript with regard to clarity and conciseness. We have considered the reviewers’ comments and responded in detail to each of them. Please find these answers below. Furthermore, we revised the manuscript to be in line with all modifications. All modifications, which address the suggestions, are highlighted in the paper.

Reviewer comments

Reviewer 1

We would like to thank the reviewer for her/his detailed comments and suggestions, which helped us to improve our manuscript.

Line 50. Include the reference for first sentence.

• Thank you for bringing this to our attention, we included a reference for the first sentence (page 4, line 75).

Line 61-68. The paragraph contains in-text citations with page numbers, I am not sure if that conforms with PLOS ONE guidelines.

• Thank you for bringing this to our attention. We rephrased and removed in-text citations, as well as page numbers (page 4, line 87-96).

Line 71. ….. were a risk factor (for what?)

• We included further information to the sentence: “A recent review investigated caregivers of cancer patients and found that high levels of pre-loss grief were a risk factor for poor adaption to the death and high levels of preparedness a protective factor for poor adaptation to the death (4).” (page 4, line 98).

Page 125-132 H1-H3 The hypotheses should be in future tenses. …will be associated… not ….is associated

Page 133-134 Furthermore, we assume that quality of relationship to the patient and prognosis of the patient are (use future tense, will be) associated

……

• Thank you for mentioning this. We agree and rephrased the hypotheses in future tense. However, to make the introduction more succinct and in accordance with the comments of the first reviewer, we removed the hypotheses from the study (page 4-5).

Page 146-7 ..social networks? You mean social media networks?

• Thank you for bringing this to our attention. You are right. We therefore rephrased it to “social media networks” (page 6, line 139).

Page 152-153 Why the use of convenient sampling?

• Thank you for pointing this out. We added this information to the manuscript: “Due to the difficulty of accessibility of relatives of cancer patients (as there is no official cancer registry with contact details of relatives), convenient sampling was used to ensure a sufficient sample size.” (page 6, line 145-147).

Page 158-159 Were the participants able to submit the survey after completing only demographic information? How dropouts were obtained is not clearly stated.

• Thank you for mentioning this. All data entered was automatically saved by the survey platform after electronic informed consent was provided, regardless if participants decided to drop out or finish the questionnaire. So when participants entered only demographic information and closed the survey, the previously entered data was automatically saved by the survey platform. We also added this information to the manuscript: “All data entered after providing informed consent was saved automatically by the survey platform.” (page 6-7, line 154-155).

Page 159-160 How many times were the survey(s) completed? You reported additional dropouts during the remaining online surveys

• Thank you for pointing this out. The survey was only completed during one time. As the information was not clearly described we changed the sentence: “In total, 646 potential participants started the online survey. Of these, 347 dropped out during the survey, and a total number of n=299 participants fully completed the online survey.” (page 9, line 204-205).

Page 162 Was written informed consent really provided? I thought they indicated their consent in the online survey link. Maybe you rewrite?

• Thank you for bringing this to our attention. We rephrased “written informed consent” to “electronic informed consent” (page 6, line 154)

164 Measures sub heading. For all the scales, did you use the German versions or you translated them? Give details. Also, for Table 1, is it possible to indicate which scores indicate better outcomes for the rest of the scales? You singled out a few in the procedure and mention higher scores indicates………

• Thank you for mentioning this. We agree and added in Table 1 for every scale, if it was a German version, self-generated or translated. We also added for each scale, what higher scores indicate. (page 8, Table 1)

• Following scale was translated: Preparedness for Caregiving. We added this information in the manuscript: “The German Version of the preparedness for caregiving scale is provided within the supplementary material. Two psychologists (JK and JT) independently translated the English version of the Preparedness for caregiving scale into German. Both versions were compared for differences and merged by consensus into one German version. This version was then back translated by a native speaker. The German Version of the preparedness for caregiving scale is provided within the supplementary material (S1 Table)” (page 7-8, line 179-184).

Page 233…… while the opposite was true…… the statement can confuse the reader in interpreting the result. Use straightforward language

• Thank you for bringing this to our attention. We changed the sentence to: “Higher emotion-focused coping strategies showed a negative relationship with pre-loss grief (β=-.319, p=<.001), while dysfunctional coping strategies showed a positive relationship with pre-loss grief (β=.279, p<.001).” (page 11, line 240).

Page 235 Table 3. Is it possible to indicate p-values that are significant? It makes reading through easy

• Thank you for mentioning this. We agree and indicated in Table 3, which p-values were significant (Table 3, page 12-13, line 245).

Page 261 under discussion. The sentence that starts with ‘In accordance with our first hypothesis…..’ needs corrections

• We agree and rephrased the sentence to: “Results showed that helpful coping strategies (emotion-focused or problem-focused coping) showed a negative relationship with pre-loss grief and dysfunctional coping a positive relationship with pre-loss grief. On the other hand, helpful coping strategies showed a positive relationship with preparedness measures and dysfunctional coping strategies a negative relationship with preparedness measures.” (page 15, line 276-280).

Page 267 Regarding our second hypothesis (not hypotheses)

• Thank you for mentioning this. This sentence was removed in accordance with the comments of the second reviewer.

Page 309 under limitations. It will be good to discuss how that women dominance in the sample might have affected the result. Are there studies indicating which gender is associated with more grief and other outcomes of concern in this study? The same goes to literacy level. Majority of the participants are highly educated. Any literature on literacy level and the outcomes of this study?

• Thank you for mentioning this. We included in the discussion how gender and educational background may have affected the sample: “Because pre-loss grief and preparedness have been found to be higher in women than in men (26,37), the high percentage of women may have caused the sample to have higher scores in the outcomes, therefore possibly affecting the results. Also, a lower educational level has shown to be associated with higher levels of pre-loss grief and lower levels of preparedness (7,38), which might also have affected the results, as grief may be higher and preparedness be lower in this sample than in samples with a lower educational background.” (page 17, line 341-347).

Did you collect health information of the participants themselves? Don’t you think their health status may also affect their responses?

• Thank you for bringing this to our attention. You are right that relatives’ health status may influence the outcome variables. As health status was assessed in our study, we included it as a further predictor. Therefore, we recalculated our analysis and rewrote our manuscript regarding health status:

o “Studies show that coping style, relationship quality, social support, health status and attachment style seem to be related to levels of pre-loss grief and/or preparedness.” (page 5, line 104-105)

o Table 3 (page 12)

o “A higher level of preparedness for death was associated with a higher prognosis of death (β=.358, p<.001), higher emotion-focused coping (β=.241, p<.001), lower dysfunctional coping (β=-.222, p<.001), lower COVID-19 related fears (β=-.112, p=.037) and health status (β=.123, p=.025).” (page 14, line 251-254)

o “Lastly, relatives who at the time of the survey had themselves a serious physical illness or disability or mental illness or disability, showed higher levels of preparedness for caregiving (β=.157, p=.003).” (page 14, line 265-268).

o “Furthermore, relatives with a worse health status showed higher levels in both preparedness measures, which is contrary to previous studies (2,15). This could be due to the fact that previous studies assessed health status with continuous questionnaires for a variety of health variables, e.g., general health, depression or anxiety. In contrast, health status was assessed using a dichotomous variable in this study, only measuring whether or not relatives had a physical/mental illness or disability, therefore limiting comparability to previous studies. While relatives who have a physical or mental illness/disability may have higher preparedness for death and caregiving, this relationship may dependent on the severity of their illness or disability. To further explore the relationship between health status and pre-loss grief/preparedness measures, more studies are necessary.” (page 16, line 305-314).

o Supporting Information: S5_Table

Another potential limitation, did you ask how much information the participants know about the cancer patients? The amount of knowledge they have will definitely play a role in their grief and preparedness

• Thank you for mentioning this. We agree that the amount of information plays an important role for relatives of patients with cancer. However, as the amount of information is included in our measurement for preparedness for death (“If the sick person were to die soon, would you already have all the information you need?”, S2_Table), therefore we did not include this as an extra predictor in our analysis.

REVIEWER 2

We would like to thank the reviewer for her/his detailed comments and suggestions, which helped us to improve our manuscript.

Abstract.

Objectives: Please be clear on what you mean by constructs in the following phase ‘and their relationship with COVID-19 specific constructs.’ Remember the abstract is the gateway to your article.

• Thank you for mentioning this. We agree and rephrased “COVID-19 specific constructs” to “COVID-19 related fears” (Page 2, line 28)

Method: It should be ‘Data of 299 participants from a cross-sectional study was used.

Please be very clear about the analysis. What did you use Multivariate linear regression analysis for? What were the independent and the dependent variables?

• Thank you for bringing this to our attention. We agree and rephrased the Method-section of the abstract to be more clear: “Data of 299 participants from a cross-sectional study was used. Participants were included if they were relatives of people with cancer, spoke German and were at least 18 years. Multivariate linear regression analyses were conducted to measure the relationship between predictors (dysfunctional coping, emotion-focused coping, problem-focused coping, attachment anxiety, attachment avoidance, COVID-19 related fears, prognosis, perceived depth of the relationship, perceived conflict in the relationship, health status) and pre-loss grief, preparedness for caregiving and preparedness for death as the dependent variables.” (page 2, line 29-36).

From what I understand the dependent variables are Pre-loss grief, Preparedness for death, and Preparedness for caregiving; while the independent variables are perceived depth of the relationship, COVID-19 related fears, prognosis for death, dysfunctional coping strategies, emotion-focused coping strategies, prognosis for death, problem-focused coping, attachment anxiety and perceived conflict in the relationship with the cancer patient. So if I am right, in reporting your result, you should say the independent variable (name) significantly or not predicted the dependent variable (name).

• Thank you for bringing this to our attention. We agree and rephrased the Result-section of the abstract into saying which independent variable significantly predicted the dependent variable: “Perceived depth (β=.365, p<.001), COVID-19 related fears (=.141, p=.002), prognosis for death (β=.241, p<.001), dysfunctional coping strategies (β=.281, p<.001) and emotion-focused coping strategies (β=-.320, p<.001) significantly predicted pre-loss grief. Prognosis for death (β=.347, p<.001), dysfunctional coping strategies (β=-.229, p<.001), emotion-focused coping strategies (β=.242, p<.001), COVID-19 related fears (β=-.112, p=.037) and health status (β=.123, p=.025) significantly predicted preparedness for death. Dysfunctional coping (β=-.147, p=.009), problem-focused coping (β=.162, p=.009), emotion-focused coping (β=.148, p=.017), COVID-19 related fears (β=-.151, p=.006), attachment anxiety (β=-.169, p=.003), perceived conflict in the relationship with the patient with cancer (β=-.164, p=.004), perceived depth in the relationship (β=.116, p=.048) and health status (β=.157, p=.003) significantly predicted preparedness for caregiving.” (page 2, line 37-47).

• Unfortunately, due to word limit of the abstract (a maximum of 300 words), it was not possible to include the remaining independent variables, that did not significantly predict the outcome variables.

Also please use patients with cancer in place of cancer patients

• Thank you for mentioning this. We replaced “cancer patients” with “patients with cancer” throughout the manuscript.

I think it will be good if you can include r values and the 95% CI together with the β and p values. This will make the result more meaningful

• Thank you for mentioning this. We agree that including the r values and the 95%Cl would make the results more meaningful. However, due to the word limit of the abstract (a maximum of 300 words), it was not possible to include this information in the abstract. Nevertheless, Table 3 (page 12) in the manuscript includes the β, p, r values and 95% Cl.

Conclusion: It should be ‘COVID-19 pandemic impacts on the grieving process of relatives of patients with cancer. Consequently, screening for pre-loss grief, preparedness and their associated factors may help provide early support for relatives of people with cancer at need. However, further research is needed to help understand the stability of pre-loss grief and preparedness.

• Thank you for pointing this out. We rephrased the conclusion to match the aforementioned conclusion: “This study shows COVID-19 pandemic impacts on the grieving process of relatives of patients with cancer. Consequently, screening for pre-loss grief, preparedness and their associated factors may help provide early support for relatives of people with cancer at need. However, further research is needed to help understand the stability of pre-loss grief and preparedness.” (page 3, line 57-61).

Introduction

Although the introduction has provided many relevant information, it is way too long, and it has included many irrelevant information. I think it will be good if the authors will talk about cancer in one paragraph and how death is expected in the patients, and then connect this with pre-loss grief and preparedness in the relatives of the patients in the second paragraph. The third paragraph can talk about the problem and the aim of the study. This way, the introduction will be more succinct.

• Thank you for bringing this to our attention. We agree and rephrased and abbreviated the introduction to match these three paragraphs and make it more succinct (Introduction, page 4-6)

Procedure

Line 144: It should be ‘and was approved’

• Thank you for bringing this to our attention. We changed it to “was approved” (page 6, line 136).

Page 7

Please take the following to the result section: In total, 646 potential participants started the online survey. Of these, 273 dropped out during or after completing the sociodemographic variables. Further 74 participants were excluded due to dropping out during the remaining online survey, leading to a total number of n=299 participants.

• Thank you for mentioning this. We moved the above mentioned paragraph from the Method to the Result section (page 9, line 205-206).

What you need under this section: are inclusion and exclusion criteria, the characteristics of the participants such as being a relative of patients with cancer, participants who can speak German, etc, etc.

• Thank you for pointing this out. We moved the characteristics of the participants to the Method-section (page 6-7, line 153-161).

Measures

I do not know why you need Table 1? What we need to see under measures are the description, characteristics and the psychometric properties of the outcome measures from previous studies, unless they are new measures invented by you.

• It is true that that Table 1 is not necessarily needed for understanding the manuscript, however, it provides a good overview for readers. Following the advice from the second reviewer, we kept Table 1 in the manuscript and added more information (page 8, Table 1).

Statistical analysis

Because three different models were tested and to correct for Type 1 error, we applied Bonferroni correction and set the significance level at p<.0167. I am not sure Bonferoni correction was appropriately applied. Bonferonni correction is used when there is multiple pairwise comparison, and in the first, you are not comparing anything with anything.

• Thank you for bringing this to our attention. We removed the Bonferroni correction from our analysis and manuscript. As a result, more variables became significant in predicted the outcome variables. This can be seen in Table 3 (page 12).

Table 3: You need to provide r values (rank order correlation) in the table. The 95% CI is for the r value.

• Thank you for mentioning this. We included the rank order correlations in Table 3 (page 12).

Also please cross-check the p values in the text. Some are reading p<000

• Thank you for pointing this out, we cross-checked the p-values in the text and removed errors from the manuscript.

Factors associated with preparedness for caregiving

You mentioned power analysis here: A power analysis with G*Power 3.1. revealed a medium sized effect (f2 = .22, α = .0167, power = .80). What is it for?

• Thank you for mentioning this. We added this information to the manuscript: “A power analysis with G*Power 3.1. revealed a large sized effect for the prediction model of pre-loss grief (f2 = .92, α = .005, power = .80).” (page 11, line 233-234).

Limitation

This is not limitation: Furthermore, the cross-sectional design and exploratory analyses may limit the generalizability of results.

Please take of the limitation to the discussion section. They are not limitations.

• Thank you for bringing this to our attention. We removed this section from the limitation to the discussion section (page 17, line 335-337).

Conclusion: The conclusion is too long. A conclusion should be very succinct.

• Thank you for mentioning this. We agree and abbreviated the conclusions to make it more succinct (page 18, line 369-383).

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Jibril Mohammed

14 Nov 2022

Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study.

PONE-D-22-17257R1

Dear Dr. Schmidt,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Jibril Mohammed, BSc, MSc, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Jibril Mohammed

17 Nov 2022

PONE-D-22-17257R1

Factors associated with pre-loss grief and preparedness in relatives of people with cancer during the COVID-19 pandemic: A cross-sectional study.

Dear Dr. Schmidt:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Jibril Mohammed

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. German version of the preparedness for caregiving scale.

    (DOCX)

    S2 Table. Self-generated questions for “Preparedness for death”.

    (DOCX)

    S3 Table. Self-generated questions for “COVID-19 related fears”.

    (DOCX)

    S4 Table. Self-generated item for “Prognosis”.

    (DOCX)

    S5 Table. Self-generated questions for “Health Status”.

    (DOCX)

    S6 Table. Correlation matrix of all variables included in the best subset analyses.

    (DOCX)

    Attachment

    Submitted filename: PONE-D-22-17257_reviewer Comments.docx

    Attachment

    Submitted filename: Reviewer comment cancer and Covid grief.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    By instruction of the Office for Data Protection of the Faculty of Medicine of the University of Leipzig, datasets were not uploaded in a public repository in order not to violate the confidentiality of the subjects' information. Datasets contain sensitive information, that might otherwise identify participants. Reasoned requests to access datasets can be directed to the Research Lab at the Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig (forschung-psom@medizin.uni-leipzig.de), which serves as the permanent data access committee. Requests will be submitted to the data protection coordinator of the University of Leipzig as well as to the Ethics Committee before transfer. Based on the EU General Data Protection Regulation and the patient consent form used in the study, only de-identified data may be shared.


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